Suno AI API

Use API to call the music generation AI of Suno.ai and easily integrate it into agents like GPTs.

👉 We update quickly, please star.

English | 简体中文 | Demo | Docs | Deploy with Vercel

Introduction

Suno.ai v3 is an amazing AI music service. Although the official API is not yet available, we couldn't wait to integrate its capabilities somewhere.

We discovered that some users have similar needs, so we decided to open-source this project, hoping you'll like it.

Demo

We have deployed an example bound to a free Suno account, so it has daily usage limits, but you can see how it runs: suno.gcui.art

Features

• Perfectly implements the creation API from app.suno.ai
• Automatically keep the account active.
• Compatible with the format of OpenAI’s /v1/chat/completions API.
• Supports Custom Mode
• One-click deployment to Vercel
• In addition to the standard API, it also adapts to the API Schema of Agent platforms like GPTs and Coze, so you can use it as a tool/plugin/Action for LLMs and integrate it into any AI Agent.
• Permissive open-source license, allowing you to freely integrate and modify.

Getting Started

1. Obtain the cookie of your app.suno.ai account

1. Head over to app.suno.ai using your browser.
2. Open up the browser console: hit F12 or access the Developer Tools.
3. Navigate to the Network tab.
4. Give the page a quick refresh.
5. Identify the request that includes the keyword client?_clerk_js_version.
6. Click on it and switch over to the Header tab.
7. Locate the Cookie section, hover your mouse over it, and copy the value of the Cookie.

2. Clone and deploy this project

You can choose your preferred deployment method:

Deploy to Vercel

Run locally

git clone https://github.com/gcui-art/suno-api.git
cd suno-api
npm install

Alternatively, you can use Docker Compose

docker compose build && docker compose up

3. Configure suno-api

• If deployed to Vercel, please add an environment variable SUNO_COOKIE in the Vercel dashboard, with the value of the cookie obtained in the first step.

• If you’re running this locally, be sure to add the following to your .env file:

SUNO_COOKIE=<your-cookie>

4. Run suno api

• If you’ve deployed to Vercel:
  • Please click on Deploy in the Vercel dashboard and wait for the deployment to be successful.
  • Visit the https://<vercel-assigned-domain>/api/get_limit API for testing.
• If running locally:
  • Run npm run dev.
  • Visit the http://localhost:3000/api/get_limit API for testing.
• If the following result is returned:

{
  "credits_left": 50,
  "period": "day",
  "monthly_limit": 50,
  "monthly_usage": 50
}

it means the program is running normally.

5. Use Suno API

You can check out the detailed API documentation at : suno.gcui.art/docs

API Reference

Suno API currently mainly implements the following APIs:

- `/api/generate`: Generate music
- `/v1/chat/completions`: Generate music - Call the generate API in a format that works with OpenAI’s API.
- `/api/custom_generate`: Generate music (Custom Mode, support setting lyrics, music style, title, etc.)
- `/api/generate_lyrics`: Generate lyrics based on prompt
- `/api/get`: Get music information based on the id. Use “,” to separate multiple ids.
    If no IDs are provided, all music will be returned.
- `/api/get_limit`: Get quota Info

For more detailed documentation, please check out the demo site: suno.gcui.art/docs

API Integration Code Example

Python

import time
import requests

# replace your vercel domain
base_url = 'http://localhost:3000'


def custom_generate_audio(payload):
    url = f"{base_url}/api/custom_generate"
    response = requests.post(url, json=payload, headers={'Content-Type': 'application/json'})
    return response.json()


def generate_audio_by_prompt(payload):
    url = f"{base_url}/api/generate"
    response = requests.post(url, json=payload, headers={'Content-Type': 'application/json'})
    return response.json()


def get_audio_information(audio_ids):
    url = f"{base_url}/api/get?ids={audio_ids}"
    response = requests.get(url)
    return response.json()


def get_quota_information():
    url = f"{base_url}/api/get_limit"
    response = requests.get(url)
    return response.json()


if __name__ == '__main__':
    data = generate_audio_by_prompt({
        "prompt": "A popular heavy metal song about war, sung by a deep-voiced male singer, slowly and melodiously. The lyrics depict the sorrow of people after the war.",
        "make_instrumental": False,
        "wait_audio": False
    })

    ids = f"{data[0]['id']},{data[1]['id']}"
    print(f"ids: {ids}")

    for _ in range(60):
        data = get_audio_information(ids)
        if data[0]["status"] == 'streaming':
            print(f"{data[0]['id']} ==> {data[0]['audio_url']}")
            print(f"{data[1]['id']} ==> {data[1]['audio_url']}")
            break
        # sleep 5s
        time.sleep(5)

Js

const axios = require("axios");

// replace your vercel domain
const baseUrl = "http://localhost:3000";

async function customGenerateAudio(payload) {
  const url = `${baseUrl}/api/custom_generate`;
  const response = await axios.post(url, payload, {
    headers: { "Content-Type": "application/json" },
  });
  return response.data;
}

async function generateAudioByPrompt(payload) {
  const url = `${baseUrl}/api/generate`;
  const response = await axios.post(url, payload, {
    headers: { "Content-Type": "application/json" },
  });
  return response.data;
}

async function getAudioInformation(audioIds) {
  const url = `${baseUrl}/api/get?ids=${audioIds}`;
  const response = await axios.get(url);
  return response.data;
}

async function getQuotaInformation() {
  const url = `${baseUrl}/api/get_limit`;
  const response = await axios.get(url);
  return response.data;
}

async function main() {
  const data = await generateAudioByPrompt({
    prompt:
      "A popular heavy metal song about war, sung by a deep-voiced male singer, slowly and melodiously. The lyrics depict the sorrow of people after the war.",
    make_instrumental: false,
    wait_audio: false,
  });

  const ids = `${data[0].id},${data[1].id}`;
  console.log(`ids: ${ids}`);

  for (let i = 0; i < 60; i++) {
    const data = await getAudioInformation(ids);
    if (data[0].status === "streaming") {
      console.log(`${data[0].id} ==> ${data[0].audio_url}`);
      console.log(`${data[1].id} ==> ${data[1].audio_url}`);
      break;
    }
    // sleep 5s
    await new Promise((resolve) => setTimeout(resolve, 5000));
  }
}

main();

Integration with Custom Agents

You can integrate Suno AI as a tool/plugin/action into your AI agent.

Integration with GPTs

[coming soon...]

Integration with Coze

[coming soon...]

Integration with LangChain

[coming soon...]

Contribution Guidelines

Fork the project and submit a pull request.

License

LGPL-3.0 or later

Contact Us

• Contact us: support@gcui.art

Related Links

• Project repository: github.com/gcui-art/suno-api
• Suno.ai official website: suno.ai
• Demo: suno.gcui.art

Statement

suno-api is an unofficial open source project, intended for learning and research purposes only.